Dynamic Fuzzy Wavelet Neural Network Model for Structural System Identification

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A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection (2009, neutral): “…2007; Zhang, Xu, & Li, 2007), selforganizing maps (Carpenter & Grossberg, 1987; Kohonen, 1982), modular neural networks, fuzzy neural networks (Adeli & Jiang, 2003, 2006; Adeli & Karim, 2000; Jiang & Adeli, 2008; Rigatos, 2008; Sabourin, Madani, & Bruneau, 2007), and spiking neural networks…”
The promise of implementing machine learning in earthquake engineering: A state-of-the-art review (2020, methodology): “Moreover, wavelet transform can analyze the different frequency components of an earthquake signal with varying levels of details, which has emerged as an effective technique that can be embedded in an ANN for system identification and damage detection (Adeli and Jiang, 2006; Hung et al., 2003).”
Enhanced probabilistic neural network with local decision circles: A robust classifier (2010, neutral): “33,44,45,78], neuro-fuzzy networks [5,6,34,39,71],”
Synchrosqueezed wavelet transform-fractality model for locating, detecting, and quantifying damage in smart highrise building structures (2015, methodology): “Almost all papers published on health monitoring of civil structures deal only with only one or two of these items (Adeli and Jiang 2006, Jiang and Adeli 2005 and 2007, Ni et al 2006, Hu et al 2013, Butcher et al 2014).”